Digital droplet PCR-based chimerism analysis for monitoring of hematopoietic engraftment after allogeneic stem cell transplantation.
Adult
Aged
Bone Marrow
/ metabolism
DNA
/ blood
Female
Hematopoietic Stem Cell Transplantation
/ methods
Humans
INDEL Mutation
Male
Microsatellite Repeats
/ genetics
Middle Aged
Polymerase Chain Reaction
/ methods
Reproducibility of Results
Tissue Donors
Transplantation Chimera
/ genetics
Transplantation, Homologous
STR analysis
allogeneic transplantation
chimerism
digital droplet PCR
monitoring hematopoietic stem cells
Journal
International journal of laboratory hematology
ISSN: 1751-553X
Titre abrégé: Int J Lab Hematol
Pays: England
ID NLM: 101300213
Informations de publication
Date de publication:
Oct 2019
Oct 2019
Historique:
received:
05
02
2019
revised:
25
04
2019
accepted:
29
05
2019
pubmed:
22
6
2019
medline:
11
2
2020
entrez:
22
6
2019
Statut:
ppublish
Résumé
Allogeneic hematopoietic stem cell transplantation (alloHSCT) is a curative approach for multiple hematologic diseases. The success of alloHSCT is evaluated by analyzing the proportion of living donor cells in blood and bone marrow samples of the recipient (chimerism analysis). To monitor the engrafted cells, donor's individual genetic markers are analyzed in peripheral blood and bone marrow samples, usually by using short tandem repeat (STR) analysis. An alternative method to measure chimerism is based on insertion and deletion markers (InDels) analyzed by digital droplet PCR (ddPCR); however, this approach is rarely evaluated in clinical practice. In this study, we examined the usefulness of ddPCR-based chimerism analysis against the standard STR analysis in samples around day+30 after alloHSCT in clinical practice using peripheral blood and bone marrow samples. The median absolute difference between ddPCR and STR analysis was 0.55% points for bone marrow chimerisms and 0.25% points for peripheral blood chimerisms, respectively, including variation in the range of maximum 2% for both methods. The results of every single sample gave the same clinical message. According to our data, chimerism analysis by ddPCR has an excellent correlation with STR-based analyses. Due to its fast and easy applicability, the ddPCR technique is suitable for chimerism monitoring in clinical practice.
Substances chimiques
DNA
9007-49-2
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
615-621Subventions
Organisme : German Federal Ministry of Education and Research (BMBF)
ID : FKZ 031 A 534A
Informations de copyright
© 2019 John Wiley & Sons Ltd.
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